Improving Speed and Scalability with In-Memory Data Grids

Digital transformation, whether it’s done to improve the customer experience or operations, is the biggest opportunity and threat for most companies. But transforming existing IT infrastructure to support digital business is hard. Digital business can increase query and transaction volumes up 10 to 1000x, and generate 50x or more data about customers, products, and interactions. It also requires companies to act in real-time.

Many companies have succeeded with their digital transformations. They did not have to rip out and replace their existing applications and databases. Instead, they took a more evolutionary approach. First, they added speed and scalability by sliding an in-memory data grid (IMDG) in-between their existing applications and databases. This approach was more cost effective and provided a new in-memory layer for accessing and processing existing and new data. In-memory computing became the foundation that allowed them to combine transactions and services with real-time analytics and deliver new HTAP applications for their digital transformations and customer experience initiatives.

This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of an IMDG and its role in digital transformation and improving the customer experience. It also introduces the GridGain® in-memory computing platform, and explains GridGain’s IMDG and other capabilities that have helped companies add speed and scalability to their existing applications.